| FMRS | 59 / 100 · C | 66 / 100 · C |
| Reliability | 9 / 20 | 8 / 20 |
|---|
| Security and permissions | 12 / 20 | 15 / 20 |
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| Maintenance | 15 / 20 | 15 / 20 |
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| Documentation | 13 / 20 | 15 / 20 |
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| Setup experience | 10 / 20 | 13 / 20 |
| Best for | - Teams or organizations that have already completed Microsoft Teams and Azure/Entra ID app registration
- Scenarios where an AI agent needs to post and reply to messages directly in Teams channels
- Developers on the uv/Python stack who are comfortable self-hosting or using the official Docker image
| - Developers, content creators, and project teams using Atlassian Cloud
- Teams that want Atlassian access inside ChatGPT, Claude, Cursor, or VS Code
- Users who need natural-language search, write, and cross-product workflows
|
| Not for | - Individuals without a Microsoft 365/Teams account or unable to register an Entra ID app
- Use cases needing 1:1 chat, meetings, or calls — not described as supported features
- Users who want zero-configuration setup without handling OAuth client secrets and other sensitive credentials
| - Users without an Atlassian Cloud site or relevant product permissions
- Deployments requiring a self-hosted MCP server
- Users unwilling to grant an AI client access to Atlassian data or actions
- Jira Service Management or Bitbucket Cloud workflows requiring OAuth authentication
|
| Required permissions | - Microsoft Entra ID application ID and client secret (TEAMS_APP_ID / TEAMS_APP_PASSWORD)
- Tenant configuration (TEAMS_APP_TYPE, and TEAMS_APP_TENANT_ID for SingleTenant setups)
- Target MS Teams Team ID and Channel ID (TEAM_ID / TEAMS_CHANNEL_ID)
- The registered app needs permission to read and post/reply to messages in the target channel
| - Jira and Confluence provide read, write, and search permission groups
- Jira Service Management provides read and write access through API tokens only
- Bitbucket Cloud provides read and write access through scoped API tokens only
- Compass is available through OAuth 2.1 only
- The first OAuth installer for a site must have access to the Atlassian apps requested by the MCP scopes
- Organization administrators can manage domain controls, API-token authentication, app access, and audit logs
|
| Risks and side effects | - TEAMS_APP_PASSWORD is a client secret; if leaked it could let an attacker impersonate the app and access Teams data, so environment variables and .env files must be protected
- The server can read the full message history of a channel, potentially exposing sensitive channel content to the connected LLM or agent
- The server can actively post or reply in the channel on the app's behalf, so misconfiguration or a bad prompt could send unintended messages to real users
| - AI clients can perform Jira, Confluence, Jira Service Management, Bitbucket, and Compass actions on the user’s behalf
- Prompt injection, indirect prompt injection, and tool-poisoning attacks may cause data exfiltration or unintended changes
- Use least privilege, scoped tokens, and minimal project or workspace access
- Require human confirmation for high-impact or destructive actions and monitor audit logs
|
| Supported clients | | OpenAI ChatGPT, Claude, Cursor, GitHub Copilot, GitHub Copilot CLI, Google Gemini CLI, Amazon Quick Suite, Local MCP-compatible clients via mcp-remote |
| Tools | 0 | 0 |